Data Scientist – ML & Data Engineering
Centrical
Job Overview
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Job Description
About Centrical
Centrical provides an employee-centric success platform that uses actionable KPIs, deep gamification, personalized microlearning, collaboration tools, and augmented coaching to empower both employees and managers.
Our Story
Centrical originally grew out of the business intelligence software segment. The aim was to move beyond simply delivering performance metrics and instead, guide employees towards actionable improvement steps, all while making work enjoyable.
About the Role - Data Scientist – ML & Data Engineering
In this role, you will build advanced analytics workflows, robust data pipelines, and analytic use cases that drive actionable insights across the organization.
Responsibilities
- Analyze and interpret data from multiple sources to identify trends and opportunities.
- Apply statistical modeling, machine learning, and predictive analytics to generate business insights.
- Partner with various business units to gather requirements and deliver data-driven solutions.
- Build, test, and maintain analytical models using Python libraries such as pandas, NumPy, and scikit-learn.
- Design and maintain advanced analytics workflows using platforms like Amazon Redshift and QuickSuite.
- Translate complex analyses into actionable insights for both technical and non-technical stakeholders.
- Collaborate with Product, BI, and Data Science teams to align analytics solutions with business goals.
Requirements
- 3+ years of experience in analytics, data science, or quantitative roles (SaaS experience is a plus).
- Proficiency in Python and its data analysis libraries (pandas, NumPy, scikit-learn, etc.).
- Strong SQL skills.
- Experience with statistical analysis and predictive modeling.
- Familiarity with Jupyter Notebooks or similar environments.
- Curiosity for leveraging new AI tools and technologies.
- Excellent analytical, problem-solving, and communication skills.
- BA/BS in a quantitative field; MSc or PhD preferred.
- Fluent in English.
Preferred Qualifications
- Experience with AWS, Amazon Redshift, Scrum, Jira, Jenkins, and DBT.
- Experience deploying data solutions and integrating analytics into business workflows.
How to Apply
Interested candidates should send their CV to jobs@centrical.com.
Key skills/competency
- Data Science
- Machine Learning
- Data Engineering
- Python
- SQL
- Analytics
- Statistical Modeling
- AWS
- SaaS
- AI
How to Get Hired at Centrical
- Research Centrical's culture: Study their mission, values, and recent projects.
- Customize your resume: Highlight relevant analytics, Python, and SaaS skills.
- Prepare for technical questions: Practice Python libraries and SQL challenges.
- Showcase problem-solving: Provide examples of analytical projects.
- Network on LinkedIn: Engage with current employees and join industry groups.
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